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Field
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Excellent communication skills in English (written and spoken), as it is the working language in the institute. The appointment of PhD candidate will be for 3 years (aligned with MPI Sus-Mat’s doctoral
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plants. In addition to in-depth knowledge of botanical systematics, the application of state-of-the-art methods such as high-throughput sequencing is explicitly desired as part of the current and future
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and will align with the objectives of the aforementioned consortia. These projects work at the interface of the gut microbiome, diet, and immune system to investigate their roles in various diseases
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are seeking two excellent and enthusiastic PhD students with a strong interest in microbiome research. The specific focus of the PhD projects will be tailored to the candidate’s interests and will align with
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Europe. Our research fields are aligned with the needs of people: health, safety, communication, mobility, energy, and the environment. We are creative, we shape technology, we design products, we improve
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on Innovations in Sociotechnical Systems (ISTS) envisions well-aligned social and technical systems that facilitate innovation and thereby support the transition toward a sustainable biobased economy. Its mission
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differentiation protocols for iPSC perform CRISPR-based genome editing and molecular biology experiments develop and optimize high-throughput sequencing techniques work with a substantial amount of multi-Omics data
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maintain pipelines for the analysis of high-throughput sequencing data, including RNA-seq, ChIP-seq, ATAC-seq, and single-cell and spatial omics. Integrate machine learning and large language models (LLMs
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facilities (sequencing, proteomics and metabolomics). This dynamic setting fosters innovation and teamwork, enabling cutting-edge discoveries in the field of microbiome studies. The candidate will work on a
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Max Planck Institute of Immunobiology and Epigenetics, Freiburg | Freiburg im Breisgau, Baden W rttemberg | Germany | 3 months ago
of high-throughput sequencing data, including RNA-seq, ChIP-seq, ATAC-seq, and single-cell and spatial omics. Integrate machine learning and large language models (LLMs) into bioinformatics workflows